#python #deep_learning #pre_trained #model #awesome #nlp #vision #paddlehub #ai_models
https://github.com/PaddlePaddle/PaddleHub
https://github.com/PaddlePaddle/PaddleHub
GitHub
GitHub - PaddlePaddle/PaddleHub: 400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal.…
400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. Easy to Use: 3 lines of code to predict 400+ AI models. - PaddlePaddle/PaddleHub
#scala #ai #apache_spark #azure #big_data #cognitive_services #data_science #databricks #deep_learning #http #lightgbm #machine_learning #microsoft #ml #model_deployment #onnx #opencv #pyspark #spark #synapse
https://github.com/microsoft/SynapseML
https://github.com/microsoft/SynapseML
GitHub
GitHub - microsoft/SynapseML: Simple and Distributed Machine Learning
Simple and Distributed Machine Learning. Contribute to microsoft/SynapseML development by creating an account on GitHub.
#cplusplus #deployment #model_converter #ncnn #onnxruntime #openvino #pplnn #sdk #tensorrt
https://github.com/open-mmlab/mmdeploy
https://github.com/open-mmlab/mmdeploy
GitHub
GitHub - open-mmlab/mmdeploy: OpenMMLab Model Deployment Framework
OpenMMLab Model Deployment Framework. Contribute to open-mmlab/mmdeploy development by creating an account on GitHub.
#python #data_parallelism #deep_learning #distributed_training #hpc #large_scale #model_parallelism #pipeline_parallelism
https://github.com/hpcaitech/ColossalAI
https://github.com/hpcaitech/ColossalAI
GitHub
GitHub - hpcaitech/ColossalAI: Making large AI models cheaper, faster and more accessible
Making large AI models cheaper, faster and more accessible - hpcaitech/ColossalAI
#python #data_analysis #data_drift #data_science #deep_learning #jupyter_notebook #machine_learning #machinelearning #ml #mlops #model_monitoring #monitoring #performance_monitoring #visualization
https://github.com/NannyML/nannyml
https://github.com/NannyML/nannyml
GitHub
GitHub - NannyML/nannyml: nannyml: post-deployment data science in python
nannyml: post-deployment data science in python. Contribute to NannyML/nannyml development by creating an account on GitHub.
#python #caffe #computer_vision #coreml #edgetpu #keras #mediapipe #model #model_zoo #models #onnx #openvino #pretrained_models #pytorch #tensorflow #tensorflow_lite #tensorflowjs #tf_trt #tfjs #tflite #tflite_models
https://github.com/PINTO0309/PINTO_model_zoo
https://github.com/PINTO0309/PINTO_model_zoo
GitHub
GitHub - PINTO0309/PINTO_model_zoo: A repository for storing models that have been inter-converted between various frameworks.…
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8...
#jupyter_notebook #ai #artificial_intelligence #image_generation #img2img #latent_diffusion #machine_learning #model_training #stable_diffusion #txt2img
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
GitHub
GitHub - JoePenna/Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual…
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse...
#python #data_drift #data_science #hacktoberfest #html_report #jupyter_notebook #machine_learning #machine_learning_operations #mlops #model_monitoring #pandas_dataframe #production_machine_learning
https://github.com/evidentlyai/evidently
https://github.com/evidentlyai/evidently
GitHub
GitHub - evidentlyai/evidently: Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. - evidentlyai/evidently
#python #data_drift #data_science #data_validation #deep_learning #html_report #jupyter_notebook #machine_learning #ml #mlops #model_monitoring #model_validation #pandas_dataframe #pytorch
https://github.com/deepchecks/deepchecks
https://github.com/deepchecks/deepchecks
GitHub
GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open…
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test ...
#python #ai #ai_alignment #ai_safety #ai_test #ai_testing #artificial_intelligence #cicd #explainable_ai #llmops #machine_learning #machine_learning_testing #ml #ml_safety #ml_test #ml_testing #ml_validation #mlops #model_testing #model_validation #quality_assurance
https://github.com/Giskard-AI/giskard
https://github.com/Giskard-AI/giskard
GitHub
GitHub - Giskard-AI/giskard-oss: 🐢 Open-Source Evaluation & Testing library for LLM Agents
🐢 Open-Source Evaluation & Testing library for LLM Agents - Giskard-AI/giskard-oss
#python #ai #control #decision_making #distributed_computing #machine_learning #marl #model_based_reinforcement_learning #multi_agent_reinforcement_learning #pytorch #reinforcement_learning #rl #robotics #torch
https://github.com/pytorch/rl
https://github.com/pytorch/rl
GitHub
GitHub - pytorch/rl: A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. - pytorch/rl
👍1
#python #large_language_models #model_para #transformers
Megatron-LM and Megatron-Core are powerful tools for training large language models (LLMs) on NVIDIA GPUs. Megatron-Core offers GPU-optimized techniques and system-level optimizations, allowing you to train custom transformers efficiently. It supports advanced parallelism strategies, activation checkpointing, and distributed optimization to reduce memory usage and improve training speed. You can use Megatron-Core with other frameworks like NVIDIA NeMo for end-to-end solutions or integrate its components into your preferred training framework. This setup enables scalable training of models with hundreds of billions of parameters, making it beneficial for researchers and developers aiming to advance LLM technology.
https://github.com/NVIDIA/Megatron-LM
Megatron-LM and Megatron-Core are powerful tools for training large language models (LLMs) on NVIDIA GPUs. Megatron-Core offers GPU-optimized techniques and system-level optimizations, allowing you to train custom transformers efficiently. It supports advanced parallelism strategies, activation checkpointing, and distributed optimization to reduce memory usage and improve training speed. You can use Megatron-Core with other frameworks like NVIDIA NeMo for end-to-end solutions or integrate its components into your preferred training framework. This setup enables scalable training of models with hundreds of billions of parameters, making it beneficial for researchers and developers aiming to advance LLM technology.
https://github.com/NVIDIA/Megatron-LM
GitHub
GitHub - NVIDIA/Megatron-LM: Ongoing research training transformer models at scale
Ongoing research training transformer models at scale - NVIDIA/Megatron-LM