neural-networks-and-deep-learning

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

visualization data-science machine-learning automation visual-programming-language tensorflow dsl data-visualization pytorch neural-networks hyperparameter-optimization diagrams lark neural-architecture-search onnx nocode neural-networks-and-deep-learning neural-networks-from-scratch llms

UpdatedOct 30, 2025
HTML

josephjaspers /blackcat_tensors

Star13

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

machine-learning gpu linear-algebra openmp cuda neural-networks blas neuralnetworks gpu-support bct neural-networks-and-deep-learning neural-networks-from-scratch neuralnetwork-construction blackcat-tensors

UpdatedNov 8, 2020
C++

nadir199 /PyGesture-Side-project-Pytorch-Scholarship-Challenge

Star9

This is a python app associated with a flask web app for associating gestures to certain actions on your PC

python pytorch assistant neural-networks gesture-recognition neural-networks-and-deep-learning

UpdatedJan 5, 2019
Jupyter Notebook

PhoniExZoe /PGNN

Star4

Solving Inverse Dynamics of 3-UPU Parallel Kinematic Mechanism with Physics-Guided Neural Network

machine-learning neural-network inverse-dynamics-analysis neural-networks-and-deep-learning inverse-dynamics physics-guided parallel-kinematic-manipulator

UpdatedJul 7, 2023
Jupyter Notebook

lordtt13 /fabric-defect-detection

Star4

Classifier for detection of defects in clothes

classification cnn-keras neural-networks-and-deep-learning data-generators

UpdatedMar 25, 2023
Python

tay10r /deepslope

Star3

A terrain erosion algorithm made with deep learning.

machine-learning deep-neural-networks deep-learning neural-network terrain terrain-generation cnn pytorch artificial-intelligence neural-networks artificial-neural-networks erosion artificial-intelligence-algorithms neural-networks-and-deep-learning terrain-generator

UpdatedFeb 19, 2025
Python

fkdosilovic /nndl-errata

Star3

Unofficial errata for the book "Neural Networks and Deep Learning: A Textbook."

deep-learning neural-networks errata neural-networks-and-deep-learning

UpdatedSep 1, 2020

bjornbredesen /gnocis

Star2

Gnocis is a system for the interactive and reproductible analysis and modelling of cis-regulatory DNA sequences in Python 3

python machine-learning library bioinformatics analysis cython prediction neural-networks-and-deep-learning regulatory-elements cres

UpdatedSep 16, 2022
Jupyter Notebook

bhattbhavesh91 /why-is-relu-non-linear

Sponsor

Star2

A small walk-through to show why ReLU is non linear!

deep-learning neural-networks relu relu-layer activation-functions neural-networks-and-deep-learning activation-function relu-derivative

UpdatedMay 28, 2021
Jupyter Notebook

rileynwong /pytorch-seq2seq-joke2punchline

Sponsor

Star2

PyTorch seq2seq implementation. Includes pretrained models for jokes<>punchlines and english<>french.

python machine-learning translation neural-network pytorch jokes neural-networks seq2seq neural-machine-translation neural-nets neural-networks-and-deep-learning neural-networks-from-scratch punchlines

UpdatedApr 16, 2019
Python

amadou-6e /pymimic3

Star1

Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

machine-learning neural-networks data-preprocessing mimic-iii parallel-processing concept-drift machine-learning-models medical-data machine-learning-projects medical-dataset neural-networks-and-deep-learning clinical-informatics medical-datasets healthcare-ai data-preprocessing-pipelines medical-data-analysis concept-drift-detection data-preprocessing-and-augmentation

UpdatedOct 30, 2024
Jupyter Notebook

jimit105 /Deep-Learning-Specialization

Star1

natural-language-processing deep-learning coursera convolutional-neural-networks sequence-models coursera-deep-learning neural-networks-and-deep-learning

UpdatedJun 17, 2020
Jupyter Notebook

hashim21223445 /openllmetry

Star1

Open-source observability for your LLM application, based on OpenTelemetry

blog java html machine-learning typescript database neural-network backend algorithms rest-api material-ui javascript-library typescript-library html-parser typescript-definitions database-management database-access backend-for-frontend neural-networks-and-deep-learning neural-network-regression

UpdatedAug 15, 2025
Python

Mohammad-Aman-Ullah-Khan /Applied-Machine-Learning-BUET-2025

Star1

Course materials, lecture notes, and assignments for the Applied Machine Learning course. Covers classical ML to deep learning and modern architectures (CNNs, RNNs, Transformers, LLMs).

machine-learning-algorithms regression-models rnn-model cnn-classification neural-networks-and-deep-learning transformers-models