sra1nani0303's repositories
FinRL
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
rl-stock-trading-1
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application
rl-algos
Jupyter notebooks containing reinforcement learning implementations for specific trading scenarios
RL_Trading
Personal Project of Reinforcement Learning Trading
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
CTR_Algorithm
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）
recommendation_model
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
MHFormer
This is an official implementation for "MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation".
MTrans
【Arxiv】Accelerated Multi-Modal MR Imaging with Transformers
Transformer-in-Vision
Recent Transformer-based CV and related works.
ViT_Vision-Transformer-and-EANet_External-Attention-Transformer
Cifar-10 Study case
transformers-research-and-practice
A complete research and practice works for transformers library
nlp-abstractive-summarizer
Summarization applications by KNU 2021-2 term project
abstractive-text-summarizer
Abstractive text summarization using BART.
Text-Summarization
Abstractive and Extractive Text summarization using Transformers.
EDE
Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021 and "Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation" arXiv 2020
NLP
We used "Abstractive Text Summarization" approach to identify the important sections, interpret the context and reproduce in a new way. This ensures that the core information is conveyed through the shortest text possible, the sentences in summary are generated, not just extracted from the original text.
VideoMash
Summarize your video to any duration.
Dien----Deep-Interest-Evolution-Network-for-Click-Through-Rate-Prediction
An implementation of Paper "Deep Interest Evolution Network for Click-Through Rate Prediction"
AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
StridedTransformer-Pose3D
This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".
DAMIN-TF2
Implement of <Multi-interest Network Based on Double Attention for Click-Through Rate Prediction>
DRL-Agents
research and implementations of Deep RL agents and their applications