cathylaucx Goto Github PK

algorithmsprepareforinterview

leetcode.com , algoexpert.io solutions in python and swift

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

automated-interpretability

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deep-q-learning-paper-to-code

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

esl-cn

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

llama-cathy

Inference code for LLaMA models

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

noteimage

save note images

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pytorch-cosine-annealing-with-warmup

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

the-source-informed-segmentation-plugin-for-brainstorm-toolbox

[cite] Ali E. Haddad and Laleh Najafizadeh, "Source-informed segmentation: A data-driven approach for the temporal segmentation of EEG," IEEE Transactions on Biomedical Engineering, vol. 66, no. 5, pp. 1429-1446, 2019.