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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, ... 🧠

asynchronous-bo

Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"

awesome-nas

A curated list of neural architecture search (NAS) resources.

backpropagation

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bayesianneuralnetwork

a repo sharing Bayesian Neural Network recent papers

beauty_of_programming

bhtsne

Barnes-Hut t-SNE

bnn

Bayesian neural network implementations

cifar10-fast

codeforces

Solutions for problemsets on CodeForces

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

cs231n

cs231n.github.io

Public facing notes page

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-kernel-gp

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

deep-learning-with-python-notebooks

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

deepdreamanim

DeepDream Animation Helper

deepsparsekernel

Multi-output Gaussian process regression via multi-task neural network

deit

Official DeiT repository

demo

Differential Evolution for Multiobjective Optimization and its variants

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffusion

Denoising Diffusion Probabilistic Models

doubly-stochastic-dgp

Deep Gaussian Processes with Doubly Stochastic Variational Inference

electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

fpga-drive-aximm-pcie

Example design for FPGA Drive using the AXI Memory Mapped to PCI Express Bridge IP