[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Evolution Strategies in JAX 🦎

A curated list of awesome high performance computing resources

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Neaural Decomposition (ND)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Python Data Science Handbook: full text in Jupyter Notebooks

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

PRML algorithms implemented in Python

TriMap: Large-scale Dimensionality Reduction Using Triplets

A collection of my data visualizations, mostly in Python.

Curated lists of fastai resources: blog posts, twitter threads etc.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Deep learning codes and projects using Python

Rapid satellite imagery object detection

A collection of Scala best practices

18.335 - Introduction to Numerical Methods course

Homepage for STAT 157 at UC Berkeley

A list of popular deep learning models related to classification, segmentation and detection problems

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

A paper list of object detection using deep learning.

Bug-tracking for Jeff's algorithms book, notes, etc.

人工智能实践：Tensorflow笔记

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization