Stars
List of Data Science Cheatsheets to rule the world
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
NMA deep learning course
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Tutorial codes for modeling brains with neural nets
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Modern Computer Vision with PyTorch, published by Packt
Automated spike sorting and curation; event extraction and synchronization
AcadHomepage: A Modern and Responsive Academic Personal Homepage
The standardised environment for the hippocampus and entorhinal cortex models
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Archived code for reading data saved by the Open Ephys GUI
Applying Data Science and Machine Learning to Solve Real World Business Problems
Practice your pandas skills!
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
🔥Highlighting the top ML papers every week.