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

CINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)

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 Remembering for the Right Reasons (ICLR 2021)

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

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

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 list of wonderful open-source projects & applications integrated with Hugging Face libraries.

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

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

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A Framework for Textual Entailment based Zero Shot text classification

Reinforcement Learning in Vrep

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

Use custom tokenizers in spacy-transformers

Pytorch Implementation of RL algorithms

This repository contains code for the O'Reilly Live Online Training for BERT

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

Learning Continuous Control in Deep Reinforcement Learning

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

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Conversational text Analysis using various NLP techniques

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Compare neural networks by their feature similarity

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Abstractive and Extractive Text summarization using Transformers.

CLIP (Contrastive Language–Image Pre-training) for Italian

An NLP-suite powered by deep learning

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

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

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

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

No description or website provided.

Code for Reservoir computing (Echo state network)

RNN benchmarks of pytorch, tensorflow and theano

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

Self driving car in GTAV with Deep Learning

Using LSTM network for time series forecasting

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

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

Transformer based translation quality estimation

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

A Universal Deep Reinforcement Learning Framework

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

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Ordered Neurons LSTM

Codes and Templates from the SuperDataScience Course

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

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Neural Relation Understanding: neural cardinality estimators for tabular data

Solve BipedalWalkerHardcore-v2 with TD3

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

L2RPN Baselines a repository to host baselines for l2rpn competitions.

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. 🤓

Is a geometric model required to synthesize novel views from a single image?

Gathers Tensorflow deep learning models.