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QDrop. The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
★ 131outlier_suppression. The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
★ 49rat-plus. RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference (ICML2026)
★ 10NextLat. Official codebase for "Next-Latent Prediction Transformers Learn Compact World Models"
★ 137beyond-next-token-prediction. Curated collection of research on the limitations of next-token prediction and methods that go beyond it.
★ 25FLARE.py. Fast Low-rank Attention Routing Engine
★ 17rat-plus. RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference (ICML2026)
★ 102027-AI-College-Jobs. 2027 AI/ML internship & new graduate job list updated daily
★ 5.8kpgm. [ICLR 2026 Oral] Partition Generative Modeling (PGM): Masked Modeling Without Masks
★ 14OLMo. Modeling, training, eval, and inference code for OLMo
★ 6.6kquantile-reward-policy-optimization. Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok et al. 2025).
★ 30RAT. Official code for the NeurIPS25 paper "RAT: Bridging RNN Efficiencyand Attention Accuracy in Language Modeling" (https://arxiv.org/abs/2507.04416))
★ 26torchtitan. A PyTorch native platform for training generative AI models
★ 5.5kmad-lab. A MAD laboratory to improve AI architecture designs 🧪
★ 145xlstm. Official repository of the xLSTM.
★ 2.2kawesome-o1. A bibliography and survey of the papers surrounding o1
★ 1.2kaccelerated-scan. Accelerated First Order Parallel Associative Scan
★ 198flash-linear-attention. 🚀 Efficient implementations for emerging model architectures
★ 5.3klectures. Material for gpu-mode lectures
★ 6.3kStructuredFFN. The official code of "Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers"
★ 20nanotron. Minimalistic large language model 3D-parallelism training
★ 2.7kPai-Megatron-Patch. The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.
★ 1.6knanoGPT. The simplest, fastest repository for training/finetuning medium-sized GPTs.
★ 61kLeetCUDA. 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
★ 12kCUDA_Freshman. Cuda
★ 2.8kcutlass. CUDA Templates and Python DSLs for High-Performance Linear Algebra
★ 10kpython-ml-research-template. A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust
★ 118cuda-samples. Samples for CUDA Developers which demonstrates features in CUDA Toolkit
★ 9.4kRepDistiller. [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
★ 2.4kZOOpt. A python package of Zeroth-Order Optimization (ZOOpt)
★ 413conv_arithmetic. A technical report on convolution arithmetic in the context of deep learning
★ 15kbolei_awesome_posters. CVPR and NeurIPS poster examples and templates
★ 2kFasterTransformer. Transformer related optimization, including BERT, GPT
★ 6.4keffective_transformer. Running BERT without Padding
★ 479MT-Reading-List. A machine translation reading list maintained by Tsinghua Natural Language Processing Group
★ 2.4kAwesome-Knowledge-Distillation. Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
★ 2.7kOpenPrompt. An Open-Source Framework for Prompt-Learning.
★ 4.9ktransformer-quantization. Python
★ 212PyHessian. PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
★ 789nlp-architect. A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
★ 2.9kaimet. AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
★ 2.7kpytorch-cifar100. Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
★ 4.8kAMP-Regularizer. Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
★ 42sam.pytorch. A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
★ 136TensorRT. NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
★ 13k