dennistang742

dennistang742's Stars

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  62.8k814466.5k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX47.5k5281714.6k

• facebookresearch/fairseq

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

  Language:Python30.1k4284.2k6.4k

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python28.1k1558.6k5.6k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k285402.2k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.5k3001.4k2.5k

• official-stockfish/Stockfish

  A free and strong UCI chess engine

  Language:C++11.2k2499372.2k

• espnet/espnet

  End-to-End Speech Processing Toolkit

  Language:Python8.3k1812.3k2.2k

• libjpeg-turbo/libjpeg-turbo

  Main libjpeg-turbo repository

  Language:C3.7k1345331k

• PINTO0309/PINTO_model_zoo

  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), EdgeTPU, CoreML.

  Language:Python3.5k112332566

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.6k56767733

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.1k501.4k373

• apple/ml-cvnets

  CVNets: A library for training computer vision networks

  Language:Python1.8k3294224

• pytorch/executorch

  On-device AI across mobile, embedded and edge for PyTorch

  Language:C++1.7k54379280

• NVIDIA/aistore

  AIStore: scalable storage for AI applications

  Language:Go1.2k4493162

• MiuLab/Taiwan-LLM

  Traditional Mandarin LLMs for Taiwan

  Language:Python1.2k1852102

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python7581342137

• apple/ml-mobileone

  This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

  Language:Swift718172261

• google/qkeras

  QKeras: a quantization deep learning library for Tensorflow Keras

  Language:Python5333193102

• NVlabs/FourCastNet

  Initial public release of code, data, and model weights for FourCastNet

  Language:Python5122519128

• Vandermode/ELD

  Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)

  Language:Python480154466

• kaix90/DCTNet

  Language:Python457125597

• Qualcomm-AI-research/transformer-quantization

  Language:Python18613321

• timothybrooks/unprocessing

  Language:Python18331047

• maestro-project/maestro

  An analytical cost model evaluating DNN mappings (dataflows and tiling).

  Language:MATLAB17872155

• mathis-s/SoomRV

  A simple superscalar out of order RISC-V (micro)processor

  Language:SystemVerilog1293159

• kiang/salary

  Salary related tools for people in Taiwan

  Language:HTML314413

• dtu-act/pinn-acoustic-wave-prop

  Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper "Physics-informed neural networks for 1D sound field predictions with parameterized sources and impedance boundaries" by N. Borrel-Jensen, A. P. Engsig-Karup, and C. Jeong.

  Language:Python25203

• D3lt4lph4/jpeg_deep

  Language:Python9444

• vasily789/Symmetry-Structured-Convolutional-Neural-Networks

  Language:Python2110