| google/tf-quant-finance |
4,031 |
|
0 |
2 |
over 2 years ago |
30 |
August 19, 2022 |
36 |
apache-2.0 |
Python |
| High-performance TensorFlow library for quantitative finance. |
| jiegzhan/multi-class-text-classification-cnn |
388 |
|
0 |
0 |
about 8 years ago |
0 |
|
24 |
apache-2.0 |
Python |
| Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow. |
| llSourcell/Watch-Me-Build-a-Finance-Startup |
156 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Java |
| This is the code for "Watch Me Build a Finance Startup" by Siraj Raval on Youtube |
| joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance |
135 |
|
0 |
0 |
about 6 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering |
| psnonis/FinBERT |
101 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
|
C++ |
| BERT for Finance : UC Berkeley MIDS w266 Final Project |
| amicks/Speculator |
90 |
|
1 |
0 |
over 7 years ago |
11 |
December 19, 2017 |
0 |
mit |
Python |
| API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis |
| hamaadshah/market_risk_gan_tensorflow |
72 |
|
0 |
0 |
about 3 years ago |
0 |
|
19 |
apache-2.0 |
Python |
| Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow. |
| ml-hongkong/stock2vec |
26 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history |
| leavenstee/Stocky |
25 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Python |
| Machine Learning Stock Trading Risk Analysis (Spring 2017) |
| differential-machine-learning/appendices |
25 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
|
| Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production |
