408 Open source projects that are alternatives of or similar to course-content-dl

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Label data using HuggingFace's transformers and automatically get a prediction service

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Anonymization of legal cases (Fr) based on Flair embeddings

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

finance

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

Comparison of bandit algorithms from the Reinforcement Learning bible.

Repository for Machine Learning utils at the Wellcome Trust

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Flexible components pairing 🤗 Transformers with Pytorch Lightning

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

bitcoin prediction algorithms

Python implementation of POMDP framework and PBVI & POMCP algorithms.

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Universal 1d/2d data containers with Transformers functionality for data analysis.

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Solving board games like Connect4 using Deep Reinforcement Learning

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

a deep recurrent model for exchangeable data

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Rank 1 / 216

Reinforcement Learning in Vrep

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Pytorch Implementation of RL algorithms

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Conversational text Analysis using various NLP techniques

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Compare neural networks by their feature similarity

Abstractive and Extractive Text summarization using Transformers.

An NLP-suite powered by deep learning

This repository contains demos I made with the Transformers library by HuggingFace.

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Code for Reservoir computing (Echo state network)

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Using LSTM network for time series forecasting

Official Code Repository for "Gradient Projection Memory for Continual Learning"

Using a recurrent neural network in TensorFlow to predict national origin by last name.

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Ordered Neurons LSTM

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Solve BipedalWalkerHardcore-v2 with TD3

L2RPN Baselines a repository to host baselines for l2rpn competitions.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓