#cplusplus #artificial_intelligence #autograd #convolutional_neural_network #generative_adversarial_network #language_model #libtorch #machine_learning #neural_network #pytorch #recurrent_neural_network #tensors #torch #tutorial
https://github.com/prabhuomkar/pytorch-cpp
https://github.com/prabhuomkar/pytorch-cpp
GitHub
GitHub - prabhuomkar/pytorch-cpp: C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone - prabhuomkar/pytorch-cpp
#python #text_classification #text #transformer #vision #image_classification #feedforward_neural_network #language_model #fourier_transform #fnet
https://github.com/rishikksh20/FNet-pytorch
https://github.com/rishikksh20/FNet-pytorch
GitHub
GitHub - rishikksh20/FNet-pytorch: Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms - GitHub - rishikksh20/FNet-pytorch: Unofficial implementation of Google's FNet: Mixing Tokens with...
#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers
https://github.com/deepset-ai/haystack
https://github.com/deepset-ai/haystack
GitHub
GitHub - deepset-ai/haystack: AI orchestration framework to build customizable, production-ready LLM applications. Connect components…
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data...
#python #callcenter #conformer #ctc_decode #deepspeech #fastspeech2 #language_model #mandarin_language #ngram #parallel_wavegan #punctuation_restoration #speech_alignment #speech_recognition #speech_to_text #speech_translation #streaming_asr #text_frontend #text_to_speech #transformer
https://github.com/PaddlePaddle/PaddleSpeech
https://github.com/PaddlePaddle/PaddleSpeech
GitHub
GitHub - PaddlePaddle/PaddleSpeech: Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with…
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio...
#python #computer_vision #contrastive_loss #deep_learning #language_model #multi_modal_learning #pretrained_models #pytorch #zero_shot_classification
https://github.com/mlfoundations/open_clip
https://github.com/mlfoundations/open_clip
GitHub
GitHub - mlfoundations/open_clip: An open source implementation of CLIP.
An open source implementation of CLIP. Contribute to mlfoundations/open_clip development by creating an account on GitHub.
#python #bert #deep_learning #language_model #language_models #machine_learning #natural_language_processing #nlp #pytorch #transformer
https://github.com/extreme-bert/extreme-bert
https://github.com/extreme-bert/extreme-bert
GitHub
GitHub - extreme-bert/extreme-bert: ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on…
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Custom...
#python #attention_mechanism #deep_learning #gpt #gpt_2 #gpt_3 #language_model #linear_attention #lstm #pytorch #rnn #rwkv #transformer #transformers
https://github.com/BlinkDL/RWKV-LM
https://github.com/BlinkDL/RWKV-LM
GitHub
GitHub - BlinkDL/RWKV-LM: RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like…
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it'...
#python #deepspeed_library #gpt_3 #language_model #transformers
https://github.com/EleutherAI/gpt-neox
https://github.com/EleutherAI/gpt-neox
GitHub
GitHub - EleutherAI/gpt-neox: An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and…
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries - EleutherAI/gpt-neox
#python #agi #gpt #language_model #llm #lm #lmops #nlp #pretraining #prompt #promptist #x_prompt
https://github.com/microsoft/LMOps
https://github.com/microsoft/LMOps
GitHub
GitHub - microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and MLLMs
General technology for enabling AI capabilities w/ LLMs and MLLMs - microsoft/LMOps
#python #deep_learning #flax #jax #language_model #large_language_models #natural_language_processing #transformer
https://github.com/young-geng/EasyLM
https://github.com/young-geng/EasyLM
GitHub
GitHub - young-geng/EasyLM: Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning…
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax. - young-geng/EasyLM
#python #embeddings #information_retrieval #language_model #large_language_models #llm #machine_learning #nearest_neighbor_search #neural_search #nlp #search #search_engine #semantic_search #sentence_embeddings #similarity_search #transformers #txtai #vector_database #vector_search #vector_search_engine
https://github.com/neuml/txtai
https://github.com/neuml/txtai
GitHub
GitHub - neuml/txtai: 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows - neuml/txtai
#jupyter_notebook #ai #azure #chatgpt #dall_e #generative_ai #generativeai #gpt #language_model #llms #openai #prompt_engineering #semantic_search #transformers
This course teaches you how to build Generative AI applications with 21 comprehensive lessons from Microsoft Cloud Advocates. You'll learn about Generative AI, Large Language Models (LLMs), prompt engineering, and how to build various applications like text generation, chat apps, and image generation using Python and TypeScript. The course includes videos, written lessons, code samples, and additional learning resources. You can start anywhere and even join a Discord server for support and networking with other learners. This helps you gain practical skills in building and deploying Generative AI applications responsibly and effectively.
https://github.com/microsoft/generative-ai-for-beginners
This course teaches you how to build Generative AI applications with 21 comprehensive lessons from Microsoft Cloud Advocates. You'll learn about Generative AI, Large Language Models (LLMs), prompt engineering, and how to build various applications like text generation, chat apps, and image generation using Python and TypeScript. The course includes videos, written lessons, code samples, and additional learning resources. You can start anywhere and even join a Discord server for support and networking with other learners. This helps you gain practical skills in building and deploying Generative AI applications responsibly and effectively.
https://github.com/microsoft/generative-ai-for-beginners
GitHub
GitHub - microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
21 Lessons, Get Started Building with Generative AI - GitHub - microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI