thecho7

thecho7's Stars

• microsoft/onnxscript

  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.

  Language:Python29857

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.9k365

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.6k1k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.8k6.4k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36.1k4.2k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.5k

• neuralmagic/deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  Language:Python3.1k177

• lucidrains/video-diffusion-pytorch

  Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

  Language:Python1.3k130

• facebookresearch/metaseq

  Repo for external large-scale work

  Language:Python6.5k729

• openai/glide-text2im

  GLIDE: a diffusion-based text-conditional image synthesis model

  Language:Python3.6k507

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k179

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.9k392

• microsoft/Bringing-Old-Photos-Back-to-Life

  Bringing Old Photo Back to Life (CVPR 2020 oral)

  Language:Python15.3k2k

• cheungdaven/DeepRec

  An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

  Language:Python1.1k293

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k2.6k

• nttcslab/byol-a

  BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

  Language:Python20836

• lucidrains/byol-pytorch

  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

  Language:Python1.8k248

• lucidrains/pixel-level-contrastive-learning

  Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

  Language:Python25727

• microsoft/esvit

  EsViT: Efficient self-supervised Vision Transformers

  Language:Python40944