diff --git a/include/k2c_conv_transpose_layers.c b/include/k2c_conv_transpose_layers.c
new file mode 100644
index 0000000..39e9c4e
--- /dev/null
+++ b/include/k2c_conv_transpose_layers.c
@@ -0,0 +1,81 @@
+/**
+ k2c_conv_transpose_layers.c
+ This file is part of keras2c
+ This addition (this file) to the keras2c project was originated by Anchal Gupta
+ See LICENSE file
+ */
+#include <string.h>
+#include "k2c_include.h"
+
+/**
+ * 1D (temporal) Convolution Transpose
+ * Assumes a "channels last" structure.
+ *
+ * :param output: output tensor.
+ * :param input: input tensor.
+ * :param kernel: kernel tensor.
+ * :param bias: bias tensor.
+ * :param stride: stride length of the convolution.
+ * :param start_crop: number of elements to crop from the start of the output.
+                      If padding is 'valid', this should be zero, for 'same' it
+                      should be (kernel_size - stride) // 2.
+ * :param activation: activation function to apply to output.
+ */
+void k2c_conv1d_transpose(k2c_tensor *output, const k2c_tensor *input,
+                          const k2c_tensor *kernel, const k2c_tensor *bias,
+                          const size_t stride, const size_t start_crop,
+                          k2c_activationType *activation)
+{
+    memset(output->array, 0, output->numel * sizeof(output->array[0]));
+
+    const size_t n_height = input->shape[0];
+    const size_t n_channels = input->shape[1];
+    const size_t k_size = kernel->shape[0];
+    const size_t n_filters = kernel->shape[1];
+    const size_t out_height = output->shape[0];
+
+    const size_t ker_dim12 = n_channels * n_filters;
+
+    size_t cs = 0;
+    size_t ce = 0;
+    size_t ts = 0;
+    size_t ks = 0;
+
+    for (size_t f = 0; f < n_filters; ++f)
+    {
+        for (size_t ch = 0; ch < n_channels; ++ch)
+        {
+            for (size_t t = 0; t < n_height; ++t)
+            {
+                ts = t * stride;
+                if (ts > start_crop)
+                {
+                    cs = ts - start_crop;
+                }
+                else
+                {
+                    cs = 0;
+                }
+                if (ts + k_size - start_crop > out_height)
+                {
+                    ce = out_height;
+                }
+                else
+                {
+                    ce = ts + k_size - start_crop;
+                }
+                ks = cs - (ts - start_crop);
+                for (size_t i = 0; i < ce - cs; ++i)
+                {
+                    output->array[(i + cs) * n_filters + f] +=
+                        kernel->array[(i + ks) * ker_dim12 + f * n_channels + ch] *
+                        input->array[t * n_channels + ch];
+                }
+            }
+        }
+    }
+    // }
+
+    k2c_bias_add(output, bias);
+    activation(output->array, output->numel);
+}
diff --git a/include/k2c_include.h b/include/k2c_include.h
index df1f784..423f5ca 100644
--- a/include/k2c_include.h
+++ b/include/k2c_include.h
@@ -145,3 +145,11 @@ void k2c_gru(k2c_tensor* output, const k2c_tensor* input, float * state,
              k2c_activationType *recurrent_activation,
              k2c_activationType *output_activation);
 
+// Convolution Transpose layers
+void k2c_conv1d_transpose(k2c_tensor *output, const k2c_tensor *input,
+                          const k2c_tensor *kernel, const k2c_tensor *bias,
+                          const size_t stride, const size_t start_crop,
+                          k2c_activationType *activation);
+
+// Split layers
+void k2c_split(k2c_tensor *output, k2c_tensor *input, size_t offset);
diff --git a/include/k2c_split_layers.c b/include/k2c_split_layers.c
new file mode 100644
index 0000000..5c1f95b
--- /dev/null
+++ b/include/k2c_split_layers.c
@@ -0,0 +1,21 @@
+/**
+ k2c_split_layers.c
+ This file is part of keras2c
+ This addition (this file) to the keras2c project was originated by Anchal Gupta
+ See LICENSE file
+ */
+
+#include <string.h>
+#include "k2c_include.h"
+
+/*
+Split input tensor into one output tensor
+ * :param output: output tensor.
+ * :param input: input tensor.
+ * :param offset: The offset index at input to start copying from.
+*/
+
+void k2c_split(k2c_tensor *output, k2c_tensor *input, size_t offset)
+{
+    memcpy(&output->array[0], &input->array[offset], output->numel * sizeof(output->array[0]));
+}
\ No newline at end of file
diff --git a/include/makefile b/include/makefile
index 600e899..2c59cd3 100644
--- a/include/makefile
+++ b/include/makefile
@@ -25,7 +25,9 @@ OBJ = \
 	k2c_merge_layers.o \
 	k2c_normalization_layers.o \
 	k2c_pooling_layers.o \
-	k2c_recurrent_layers.o
+	k2c_recurrent_layers.o \
+	k2c_conv_transpose_layers.o \
+	k2c_conv_split_layers.o
 
 DEPS = \
 	k2c_include.h \