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Train a 1B LLM with 1T tokens from scratch by personal
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Stock price prediction using a Temporal Fusion Transformer
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A python library for user-friendly forecasting and anomaly detection on time series.
Time series forecasting with PyTorch
Google Research
A collection of resources and papers on Diffusion Models
Open source code for AlphaFold 2.
Benchmarks of approximate nearest neighbor libraries in Python
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
PyTorch implementations of Generative Adversarial Networks.
Image restoration with neural networks but without learning.
End-to-End Object Detection with Transformers
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
code for "Residual Flows for Invertible Generative Modeling".
Tensors and Dynamic neural networks in Python with strong GPU acceleration
OpenMMLab Detection Toolbox and Benchmark
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Translation of <Machine Learning Yearning> by Andrew NG
Non-local Neural Networks for Video Classification