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facebookresearch/moco-v3
PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.
maudzung/Complex-YOLOv4-Pytorch
A PyTorch implementation of the Complex-YOLO 3D object detection algorithm for LiDAR point clouds.
facebookresearch/svoice
A PyTorch implementation of a voice separation algorithm for mixed audio with multiple speakers.
ikostrikov/pytorch-a3c
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
d-li14/involution
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
Vahe1994/AQLM
Official PyTorch repository for extreme compression of large language models using additive quantization and PV-Tuning.
mit-han-lab/data-efficient-gans
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
FunAudioLLM/FunMusic
A fundamental toolkit for music, song, and audio generation using PyTorch.
Denys88/rl_games
A repository for reinforcement learning (RL) implementations using PyTorch.
stas00/the-art-of-debugging
A comprehensive guide to the art of debugging with a focus on C, Python, and Linux debugging tools.
920232796/bert_seq2seq
A PyTorch implementation of BERT for sequence-to-sequence tasks, including text summarization, classification, and generation.
k2-fsa/k2
A differentiable PyTorch-compatible library for working with finite-state automata and transducers.
kitops-ml/kitops
An open-source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
chengzeyi/stable-fast
Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.
chickenbestlover/RNN-Time-series-Anomaly-Detection
A Pytorch-based RNN model for anomaly detection in time-series data.
tysam-code/hlb-CIFAR10
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
NVlabs/DG-Net
A PyTorch library for joint discriminative and generative learning for person re-identification.
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
jmtomczak/intro_dgm
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
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