This is a python implementation of JamieBuild's "Super Tiny Compiler"
JamieBuilds developed a wonderfully educative compiler example a few years ago in Javascript, and this is a 250 line python implementation. It takes an input expression in LISP and converts it into C.
Type 'python compiler.py' into a command line to run this code. You can switch out the input expression in the main function with your own to test out different outputs.
SatelliteNeRF PyTorch-based Neural Radiance Fields adapted to satellite domain.
A Python library for high performance ensemble learning ML-Ensemble combines a Scikit-learn high-level API with a low-level computational graph framew
LSTMs for Human Activity Recognition Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN. Classifying the type of movement amon
Scheduling_BilinearRewards Requirement Python 3 =3.5 Structure main.py This file includes the main function. For getting the results in Figure 1, ple
Semantic Image Synthesis via Adversarial Learning This is a PyTorch implementation of the paper Semantic Image Synthesis via Adversarial Learning. Req
JetBot Looking for a quick way to get started with JetBot? Many third party kits are now available! JetBot is an open-source robot based on NVIDIA Jet
HFGI: High-Fidelity GAN Inversion for Image Attribute Editing High-Fidelity GAN Inversion for Image Attribute Editing Update: We released the inferenc
mutual_info_img_txt Joint learning of images and text via maximization of mutual information. This repository incorporates the algorithms presented in
CosineAnnealingWithWarmup Formulation The learning rate is annealed using a cosine schedule over the course of learning of n_total total steps with an
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the
DeepXML Code for DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents Architectures and algorithms DeepXML supports
Axel It's our graduation project about 3D printed robotic hands and they control
Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio
SiamSA: Robust Siamese Object Tracking for Unmanned Aerial Manipulator Demo video 📹 Our video on Youtube and bilibili demonstrates the evaluation of
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning PyTorch code for our ACL 2020 paper "MART: Memory-Augmented Recur
Bean Machine Overview Bean Machine is a probabilistic programming language for inference over statistical models written in the Python language using
Learning Synthetic Environments and Reward Networks for Reinforcement Learning We explore meta-learning agent-agnostic neural Synthetic Environments (
UpChecker UpChecker is a simple opensource project to host it fast on your server and check is server up, view statistic, get messages if it is down.
Welcome to Carbon Insight Carbon Insight is a platform aiming to display the carbon neutralization roadmap for researchers, decision-makers, and other
46 Nov 20, 2022
764 Dec 31, 2022
3.1k Dec 30, 2022
0 Nov 25, 2021
146 Nov 25, 2022
2.6k Dec 29, 2022
371 Dec 30, 2022
10 Dec 22, 2022
4 Apr 18, 2022
2 Mar 09, 2022
2 Dec 01, 2021
49 Nov 06, 2022
0 Feb 14, 2022
114 Jan 08, 2023
12 Dec 18, 2022
151 Jan 06, 2023
234 Dec 29, 2022
16 Sep 02, 2022
4 Apr 07, 2022
14 Oct 24, 2022