Denisevi4's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
fastmachinelearning/hls4ml
Machine learning on FPGAs using HLS
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
muellerzr/Practical-Deep-Learning-for-Coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
motefly/DeepGBM
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
ctallec/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
somepago/saint
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
RGF-team/rgf
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
Openning07/awesome-curriculum-learning
some bravo or inspiring research works on the topic of curriculum learning
26hzhang/StockPrediction
Plain Stock Close-Price Prediction via Graves LSTM RNNs
kingfengji/mGBDT
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
mlpanda/DeepLearning_Financial
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
aia-uclouvain/pydl8.5
An algorithm for learning optimal decision trees, with Python interface
max-andr/provably-robust-boosting
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
jambo6/online-neural-cdes
Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
zhaoxingfeng/XGBoost
Extreme Gradient Boosting（binary classification)
MMauro94/decision-forest-scorer
quarkme84/qksplot
A python package to plot histograms, profile histograms using an interface similar to ROOT's plotting