Update: Updated README.md with new links and corrected links

zeitlingerlab · Jul 5, 2023 · 0b14def · 0b14def
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@@ -18,14 +18,14 @@ Because BPNet and ChromBPNet use TensorFlow1 and TensorFlow2, respectively, we n
 
 ## Setup for BPNet environment
 
-The BPNet conda environment can be installed using the instructions found here: [https://github.com/kundajelab/chrombpnet/tree/pre-release]. There are 2 environments: 1 with and 1 without a GPU capability. If you choose to install the GPU-compatible BPNet environment on an Nvidia GPU (we trained on a NVIDIA® TITAN RTX GPU), then you will need the appropriate drivers:
+The BPNet conda environment can be installed using the instructions found here: [https://github.com/kundajelab/bpnet]. There are 2 environments: 1 with and 1 without a GPU capability. If you choose to install the GPU-compatible BPNet environment on an Nvidia GPU (we trained on a NVIDIA® TITAN RTX GPU), then you will need the appropriate drivers:
 
 + CUDA v9.0
 + cuDNN v7.0.5
 
 ## Setup for ChromBPNet environment
 
-The ChromBPNet conda environment can be installed using the instructions found here: [https://github.com/mlweilert/chrombpnet-lite](https://github.com/kundajelab/chrombpnet/tree/pre-release). If you choose to install the GPU-compatible ChromBPNet environment on an Nvidia GPU (we trained on a NVIDIA® TITAN RTX GPU), then you will need the appropriate drivers:
+The ChromBPNet conda environment can be installed using the instructions found here: [https://github.com/kundajelab/chrombpnet/tree/pre-release]. If you choose to install the GPU-compatible ChromBPNet environment on an Nvidia GPU (we trained on a NVIDIA® TITAN RTX GPU), then you will need the appropriate drivers:
 
 + CUDA v11.0
 + cuDNN v8.3.0